Jay Sharma Email & Phone Number

Gurugram, Haryana, India

Gurugram, Haryana, India

Fabricated Return on Investment model to capture less profitable acquisitions considering card member value and total upfront investment Saved INR 48.2M in a year by creating gamer model ROI - cutoffs for incoming applications from 78 channel and product combinations  Impacted 21.3K applications which diminished the gaming rates on credit cards by 25%.

India

Propounded cost reduction opportunities at a plant for a leading Indian multinational mining company with an annual revenue INR 910 B Narrowed the cost worth INR 67.2M for reduction in coke fines generation by defining MECE segments in End to End profitability analysis  Led client meetings to resolve 20+ business critical problems in quality and customer.

Kolkata, West Bengal, India

Received pre-placement offer for conceiving a product for Risk Management solution for an Oil company with annual revenue INR 98.5B Predicted prices of over 100+ commodities with accuracy > 95 % by building an advanced deep learning model using ensemble approach Garnered profits worth INR 450M annually for commodity trading from the ICE and other.

Worked in modelling Indian Insurance Schemes by schemetically studying about various Public Care and Health Insurance Schemes in various developed and developing countries.

Canberra, Australian Capital Territory, Australia

• Stock Price Prediction
• Modelled and predicted the opening values of stock prices of technology giants like Google, listed in the S&P500 index for the year 2019
• Successfully implemented the deep learning layer of multivariate LSTM on the daily stock price data of the companies from 2012-2018
• Achieved the stock prediction accuracy greater than 99.9% for Google for the year 2019 with a mean squared error of less than 0.19%Predicting the rate of pollution of Beijing
• Predicted the rate of pollution of the city for the year 2019 by using per-hour data of pollution, temperature, and pressure from 2014-2018
• Implemented the neural networks and the multivariate, Bi-Directional LSTM layer to improve the accuracy for the time-series model

Btech - Bachelor Of Technology, Manufacturing Engineering, 8.60

12 Board, 90%

10 Boards, 10 Cgpa